• DocumentCode
    2575334
  • Title

    Deadline Based Performance Evaluation of Job Scheduling Algorithms

  • Author

    Abba, Haruna Ahmed ; Shah, Syed Nasir Mehmood ; Zakaria, Nordin B. ; Pal, Anindya J.

  • Author_Institution
    High Performance Comput. Service Center (HPCC), Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2012
  • fDate
    10-12 Oct. 2012
  • Firstpage
    106
  • Lastpage
    110
  • Abstract
    Grid scheduling is one of the prime challenges in grid computing. Reliability, efficiency (with regard to time utilization), effectiveness in resource usage, as well as robustness tend to be the demanded features of Grid scheduling systems. A number of algorithms have been designed and developed in order to make effective Grid scheduling. Project management is the well known area of operation research. Here we are proposing a new prioritized deadline based scheduling algorithm (PDSA) using project management technique for efficient job execution with deadline constraints of users´ jobs. An extensive performance comparison has been presented using synthetic workload traces to evaluate the efficiency and robustness of grid scheduling with respect to average turnaround times and maximum tardiness. Result has shown improved performance under dynamic scheduling environment. Based on the comparative performance analysis, proposed PDSA has shown the optimal performance as compared to EDF and RR scheduling algorithms under dynamic scheduling environment. In brief, PDSA is the true application of project management in grid computing.
  • Keywords
    grid computing; project management; scheduling; software reliability; PDSA; average turnaround times; deadline based performance evaluation; deadline constraints; dynamic scheduling environment; grid computing; grid scheduling systems; job scheduling algorithms; maximum tardiness; prioritized deadline based scheduling algorithm; project management technique; resource usage; Delay effects; Dynamic scheduling; Grid computing; Optimal scheduling; Scheduling algorithms; EDF; Grid scheduling; PDSA; RR and Deadline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-2624-7
  • Type

    conf

  • DOI
    10.1109/CyberC.2012.25
  • Filename
    6384951